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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-asqa-ob
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-base-asqa-ob
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2086
- Rougelsum: 11.8466
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log | 1.0 | 355 | 1.7972 | 11.9539 |
| 1.9198 | 2.0 | 710 | 1.8071 | 12.2057 |
| 1.504 | 3.0 | 1065 | 1.8566 | 11.9288 |
| 1.504 | 4.0 | 1420 | 1.9225 | 11.9550 |
| 1.232 | 5.0 | 1775 | 2.0097 | 11.9038 |
| 1.0016 | 6.0 | 2130 | 2.0912 | 11.9418 |
| 1.0016 | 7.0 | 2485 | 2.2086 | 11.8466 |
### Framework versions
- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1
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